Continuous reading
Analyzes evolution, persistence and state changes, not just instantaneous events.
EDGE AI · COMPUTER VISION · HUMAN STATE
Intelligence that understands human state before risk escalates.
GUARA Platform combines computer vision, local processing and temporal reasoning to detect patterns of fatigue, distraction, attention degradation and other relevant human signals in critical environments.
Edge-first
Local processing
Modular
Adaptable hardware
Multi-vertical
Mobility and beyond
LIVE DEMO
Human State Intelligence · Mobility Context
HUMAN STATE
STABLE
Focused · attentive
TEMPORAL TREND
NORMAL
Consistent over time
CONFIDENCE
HIGH94%
MONITORING
SIGNAL FUSION
ACTIVE
Visual + temporal signals
CONTEXT
MOBILITY
On-road operation
UNCERTAINTY
LOW08%
RISK TRAJECTORYLOW
Eyes82
Head74
Gaze79
Observability91
PERCEPTION→OBSERVABILITY→TEMPORAL REASONING→HUMAN STATE→VERTICAL INTELLIGENCE
01 · THE PLATFORM
A platform for understanding how human state evolves.
GUARA transforms visual, behavioral and contextual signals into a continuous reading of human state. It goes beyond detecting isolated events: it analyzes how signals evolve over time, combines information from multiple sources, and builds a more complete interpretation of behavior.
The platform is designed to identify relevant changes in attention, fatigue, orientation, response and other human variables that can affect safety, performance and operational continuity.
Its architecture separates perception, observability, temporal reasoning and vertical intelligence, allowing the system to adapt to different environments without depending on a single application or device.
In mobility, this enables a shift from point-event detection to contextual driver assessment. In other verticals, the same foundation can adapt to operators, control rooms, industrial environments and other activities where the human factor has critical impact.
Operational context
Interprets signals while accounting for the environment and operating context.
Modular architecture
Can integrate different perception sources, hardware and AI capabilities.
Adaptive intelligence
The same platform can be specialized for different verticals and critical scenarios.
02 · THE PROBLEM
Human risk does not appear all at once.
It evolves.
Road crashes are multicausal. GUARA does not seek to attribute them to a single factor. Within this context, Argentine and regional public agencies identify human variables such as fatigue, drowsiness, attention, vigilance and reaction time as relevant dimensions for operational safety.
This is the layer of the problem GUARA seeks to observe and interpret: how human state changes over time, especially in professional mobility operations exposed to road environments, critical hours, sustained demand and monotony.
0
Fatalities recorded in the preliminary national road-safety report.
0
Of fatal crashes occurred on roads, where operational exposure is sustained.
0
Road mortality rate per 100,000 inhabitants according to ANSV.
0
Estimated road-traffic deaths by PAHO/WHO, showing that the challenge extends beyond a single country.
National scale
Distribution of fatal crashes · ANSV 202551%Roads
49%Other roads
General context of the problem in Argentina, without attributing causality to a single factor.
Highlighted time windows
ANSV 2025 · time windows identified in the preliminary reportHIGHLIGHTED
HIGHLIGHTED
Highlighted windows: 6–7 and 20–21
How to read this chart: it only highlights the time windows identified by ANSV. It does not represent quantities, percentages or a risk curve.
Regional scale
Road mortality rate per 100,000 inhabitantsA national problem within a broader regional challenge.
HUMAN FACTORS
What dimension GUARA addresses
Fatigue
Drowsiness
Attention
Vigilance
Reaction time
Decision-making
ANSV and JST recognize that these dimensions can affect operational safety, especially in professional driving and intercity transport.
OPERATIONAL UNIVERSE
How this translates into opportunity
Without yet framing it as TAM or SAM, the scale of the system is visible: CNRT publishes periodic statistics for long-distance, AMBA, regional and freight transport. The potential need extends to fleets, operators and services where human state affects safety and continuity.
Long-distance
AMBA
Regional
Freight
Public sources used: ANSV (2025 preliminary fatal road-crash report, updated April 2026); ANSV Road Safety Observatory (fatigue and stress while driving); JST (observation topics and studies on fatigue in road transport); PAHO/WHO (road safety in the Americas); CNRT (2025 statistical reports).
03 · VERTICALS
One architecture.
Multiple critical contexts.
Mobility is GUARA’s first operational vertical. The same architecture can extend to other environments where human state directly influences safety, operational continuity and performance.
Mobility
Professional drivers, passenger transport, freight, logistics and fleets.
- Fatigue and drowsiness
- Distraction
- Attention and head orientation
- Associated driving events
Mining & Industry
Operators, machinery, repetitive tasks and safety-critical positions.
Aviation
Monitoring operators and crews under sustained cognitive demand.
Control Rooms
Monitoring centers, surveillance and positions with high attentional demand.
04 · TECHNOLOGY
Designed to operate at the edge.
GUARA’s architecture prioritizes local processing, low latency and adaptation to available hardware. This enables AI capabilities to be deployed even in environments with limited or no connectivity.
LAYER 04
Human State & Vertical Intelligence
LAYER 03
Temporal Reasoning
LAYER 02
Observability & Measurement
LAYER 01
Computer Vision & Sensors
GUARA Mobile
Lightweight implementation on compatible Android devices.
Raspberry Pi
Low-cost Edge AI for professional deployments and field validation.
NVIDIA Jetson
Higher compute capacity for advanced models, sensors and additional capabilities.
05 · INTEGRATION & LICENSING
From proprietary product to integrable capabilities.
GUARA can first grow as its own aftermarket-installed product and, as it accumulates technical and commercial validation, extend its capabilities through third-party integration and licensing models. This enables scaling without depending on factory integration from the outset.
The objective is to advance in stages: aftermarket deployments in fleets and professional transport, then SDK/API and capability licensing, leaving potential OEM integration as a long-term option subject to validation, technical requirements and automotive-industry processes.
AI Engines
Licensing of specialized engines for perception, temporal analysis, human state and other intelligence capabilities developed by GUARA.
SDK / API
Interfaces for incorporating GUARA capabilities into applications, management platforms, fleet systems and third-party solutions.
Aftermarket
GUARA device installable in vehicles already in operation, without depending on factory integration. Designed for fleets, professional transport and progressive deployments on Edge hardware.
White-label
Customized implementations for partners that need to deploy GUARA capabilities under their own brand and user experience.
SCALING VISION
One technology foundation, multiple paths to market.
GUARA can capture value through aftermarket products, software licensing, technology integration and B2B agreements. Potential OEM integration remains a long-term option, conditioned on technological maturity, validation, homologation and manufacturer integration processes.
06 · VALIDATION
From the lab to the real world.
GUARA advances through incremental technical validation, testing on datasets, embedded hardware and real driving scenarios, with a focus on robustness, metric traceability and external evaluation.
01
Vision and temporal-reasoning tests
Perception · detection · events · temporal consistency
02
Implementation on Raspberry Pi and Android
Edge deployment · embedded hardware · distributed operation
03
External academic and technical validation
Traceability · technical review · institutional evidence
04
Instrumented field tests
Real-world scenarios · vibration · lighting · real driving
CONTACT
Interested in evaluating GUARA in a real operation?
We are looking for companies, universities, technology partners and institutions interested in pilots, validation, integration or joint development.